Projects in Awesome Lists by aida-ugent
A curated list of projects in awesome lists by aida-ugent .
https://github.com/aida-ugent/fairret
A fairness library in PyTorch.
ai artificial-intelligence bias deep-learning fairness fairness-ai fairness-ml machine-learning python pytorch
Last synced: 20 Dec 2024
https://github.com/aida-ugent/trace
Interactive quality analysis for two-dimensional embeddings
dimensionality-reduction embedding-evaluation scatterplot visual-analytics visualization
Last synced: 21 Nov 2024
https://github.com/aida-ugent/topoembedding
Topologically Regularized Data Embeddings
Last synced: 15 Mar 2025
https://github.com/aida-ugent/debayes
DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020).
cne debiasing embeddings fairness graphs networks
Last synced: 21 Nov 2024
https://github.com/aida-ugent/revised-conditional-t-sne
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors (IDA 2023)
Last synced: 21 Nov 2024
https://github.com/aida-ugent/csne
Source code for CSNE: Conditional Signed Network Embeddings (CIKM2020)
graph-algorithms graph-embedding graphs maxent network-embedding paper representation-learning sign-prediction
Last synced: 21 Nov 2024
https://github.com/aida-ugent/timprocess
Topological image modification & processing
Last synced: 15 Mar 2025
https://github.com/aida-ugent/otf
Optimal Transport of Classifiers to Fairness (NeurIPS 2022).
fairness optimal-transport pytorch regularizer
Last synced: 21 Nov 2024
https://github.com/aida-ugent/grab
Source code for GraB: Quantifying and Reducing Imbalance in Networks
Last synced: 15 Mar 2025
https://github.com/aida-ugent/sigmoidal-nmfd
Code for the paper "Sigmoidal NMFD: Convolutional NMF with Saturating Activations for Drum Mixture Decomposition"
Last synced: 15 Mar 2025
https://github.com/aida-ugent/fipr
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer (ECML-PKDD 2021).
fairness graphs link-prediction projection
Last synced: 15 Mar 2025
https://github.com/aida-ugent/phd_code_robin_vandaele
Code for the PhD dissertation of Robin Vandaele organized per chapter
Last synced: 15 Mar 2025
https://github.com/aida-ugent/dlp_exploration
Code for the paper "Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms"
Last synced: 15 Mar 2025
https://github.com/aida-ugent/maxentcomb
Source code for the paper "Block-Approximated Exponential Random Graphs" (DSAA2020)
ergm link-prediction maxent modelling network network-reconstruction
Last synced: 15 Mar 2025
https://github.com/aida-ugent/nrl4lp
Instructions for replicating the experiments in the paper "Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?" (DSAA2020)
benchmark evaluation link-prediction network-embedding representation-learning
Last synced: 15 Mar 2025
https://github.com/aida-ugent/grease
Source code for GREASE: Graph imbalance REduction by Adding Sets of Edges (GREASE)
Last synced: 15 Mar 2025
https://github.com/aida-ugent/dnb-music-library-browsing
A few demos of MIR tools to navigate through a collection of drum'n'bass music
Last synced: 15 Mar 2025
https://github.com/aida-ugent/evalne-robustness
Code for robustness evaluation using EvalNE (will be integrated in the main framework at a later stage)
Last synced: 15 Mar 2025
https://github.com/aida-ugent/dlp_viz
Repo accompanying the paper "New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs"
Last synced: 15 Mar 2025
https://github.com/aida-ugent/recon
This repository contains the source code, installation and use instructions for the method presented in the paper: Reducing congestion in job recommendation with optimal transport. We provide Python implementations of the complete ReCon model.
Last synced: 15 Mar 2025
https://github.com/aida-ugent/graph-vis-eval
Evaluating Representation Learning and Graph Layout Methods for Visualization (IEEE GC&A 2022)
Last synced: 15 Mar 2025
https://github.com/aida-ugent/e-recruitment-recsys-challenges
Supplementary material of the paper "A challenge-based survey of e-recruitment recommendation systems"
Last synced: 15 Mar 2025